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Claude Opus 5.5 is now available on AWS

Amazon BedrockAnnouncementsIntermediate (200)

🔗 https://aws.amazon.com/blogs/machine-learning/claude-opus-5-5-is-now-available-on-aws/

📌 【Anthropic】Claude Opus 5.5 上架 AWS 怎麼接

TL;DR:Claude Opus 5.5 上架 AWS Bedrock,AWS 官方整理了呼叫方式與可用區域。

模型上新聞很常見,但工程師真正想知道的往往是更枯燥的問題:從哪個 API 呼叫、哪個 region 支援、怎麼監控用量。AWS 這篇部落格把 Claude Opus 5.5 上架 Bedrock 的細節,整理成了一份可以直接照做的清單。

🤔 Claude 5.5 家族的第一個模型

AWS 宣布 Claude Opus 5.5 正式在 Amazon Bedrock 與 Claude Platform on AWS 上線,是 Anthropic Claude 5.5 系列的第一款模型。根據 AWS 部落格的描述,這是 Anthropic 目前最強的 Opus 模型,適合 agentic coding、知識工作與長時間執行的任務。

🧩 官方宣稱的改進:更省 token、溝通更清楚、思考力道可調

根據 Anthropic 的說法,Opus 5.5 用更少的 token 就能做到 Opus 5 的效果,新的定價也把這部分效率提升直接反映給客戶:每 token 價格更低,快取讀取的費用更便宜,整體每個任務的平均成本比 Opus 5 更低,讓團隊能用同樣預算跑更多、更有野心的 agentic 工作。

Opus 5.5 也被訓練得更懂得表達自己在做什麼:執行過程中會主動說明做了什麼、發現了什麼、還需要什麼,讓長時間執行的任務更容易被追蹤。Adaptive thinking 這次是預設常駐開啟的,模型自己判斷每個任務該花多少推理力氣,開發者可以用 effort 這個參數當作控制旋鈕,取代過去手動設定思考預算的作法。

值得注意的是,Opus 5.5 是第一款搭載類似 Claude Fable 5.1 安全分類器的 Opus 模型,涵蓋生物、資安與 AI 開發領域,相較過去的 Opus 版本,它會更頻繁地拒絕請求。

AWS 部落格也點出兩個適用場景:軟體開發上,Opus 5.5 在長時間執行的 session 中比 Opus 5 更清楚地溝通、也更容易被理解與信任;知識工作上,處理與撰寫長文件、報告時,需要的人工修正比 Opus 5 更少。

🧩 怎麼開始用:Console、SDK 到監控

最直接的方式是打開 Amazon Bedrock console,依序點選 Test → Playground,選擇 Claude Opus 5.5,就能直接對它下 prompt 測試。

程式化呼叫的話,可以透過 Anthropic Messages API 呼叫 bedrock-runtime 與 bedrock-mantle(透過 Anthropic SDK);也可以繼續用原本熟悉的 Invoke 與 Converse API,經 AWS CLI 或 AWS SDK 呼叫 bedrock-runtime。文章提供了用 AWS SDK for Python(Boto3)呼叫的範例,也示範了用 Bedrock Converse API 做統一多模型呼叫,以及直接用 anthropic 這個 SDK 套件呼叫 Anthropic Messages API 的方式。想看更完整範例,可以參考 Getting Started notebook。上線之後,用量、效能與成本可以透過 Amazon CloudWatch 與 AWS Cost Explorer 追蹤。

📊 可用區域

Claude Opus 5.5 目前已在 Bedrock 上透過 US、EU、AU、JP 以及 Global 這幾組 Geo CRIS inference profile 提供服務(走 bedrock-runtime),並且直接跑在美國東部(維吉尼亞北部)與亞太東南部(墨爾本)兩個 region 上(走 bedrock-mantle)。完整支援區域清單可查 Amazon Bedrock 文件,定價資訊則列在 Amazon Bedrock pricing 頁面。除了 Bedrock,北美地區也可以透過 Claude Platform on AWS 使用這個模型。

🎯 實務啟示

如果你已經在用 Bedrock 呼叫 Claude 系列模型,切到 Opus 5.5 理論上不需要改動太多程式碼,主要差異在於用 effort 取代原本的思考預算設定,以及安全分類器可能讓部分請求被拒絕的機率提高,值得在正式上線前針對自己的 use case 多測幾輪。多 region 的 CRIS profile 支援,也代表跨區域部署、延遲最佳化的彈性比想像中大。

🔗 來源

#Anthropic #ClaudeOpus #AmazonBedrock #AWS #LLM #AgenticAI #GenerativeAI #CloudAI #MachineLearning #APIIntegration

原始資料 AWS ML · 收集於 2026-09-22
來源原標題
Claude Opus 5.5 is now available on AWS
作者
Aamna Najmi
原始標籤
Amazon Bedrock · Announcements · Intermediate (200)
原始連結
https://aws.amazon.com/blogs/machine-learning/claude-opus-5-5-is-now-available-on-aws/

摘要原文

Today, we’re excited to announce the availability of Claude Opus 5.5 on Amazon Bedrock and Claude Platform on AWS , the first of the Claude 5.5 model family. Claude Opus 5.5 is Anthropic’s most capable Opus model suitable for agentic coding, knowledge work, and long-running tasks. This post covers Claude Opus 5.5’s improvements, practical guidance, and how to start building with the model on Amazon Bedrock. According to Anthropic, Claude Opus 5.5 does more with fewer tokens than Claude Opus 5, and new pricing passes those gains straight to customers. Lower per-token prices and much cheaper cache reads stack on top of the efficiency gains. The result is an average lower cost per task than Claude Opus 5, so teams can run more ambitious agentic work at scale. Claude Opus 5.5 is trained to communicate more clearly. As it works, it surfaces what it did, what it found, and what it needs, making long-running tasks easier to follow. Adaptive thinking is always on, and Opus 5.5 decides how much reasoning each task needs. You can use effort as your control instead of manual thinking budgets. Claude Opus 5.5 is the first Opus model that comes with safety classifiers similar to Claude Fable 5.1 in biology, cyber security, and AI development. Requests will be refused more frequently as compared to previous Opus versions. Claude Opus 5.5 capabilities are a good fit for industries where consistency and depth matter most. In software development, Opus 5.5 is an improvement over Opus 5 for longer-running sessions with clear communication and explainability, making it easier to use, review, and trust. For knowledge work, it requires fewer corrections compared to Opus 5 while working with and creating long documents and reports. To try Claude Opus 5.5, open the Amazon Bedrock console , choose Test , then Playground , and select Claude Opus 5.5 as the model. From there, you can run a prompt directly against it. Figure 1: Selecting an Anthropic Claude model in the Amazon Bedrock console Playground Figure 2: Running a prompt against a Claude model in the Amazon Bedrock console Playground Programmatically, you can call the model with the Anthropic Messages API against bedrock-runtime and bedrock-mantle (through the Anthropic SDK). You can also stay on the Invoke and Converse APIs on bedrock-runtime through the AWS Command Line Interface (AWS CLI) and AWS SDK . Here’s a quick example using the AWS SDK for Python (Boto3): You can also use the Amazon Bedrock Converse API for a unified multi-model experience: You can also use the Anthropic Messages API through the anthropic SDK package for a streamlined experience: You can explore the Getting Started notebook for more examples. You can monitor usage, performance, and costs through Amazon CloudWatch and AWS Cost Explorer to scale your applications as demand grows. Claude Opus 5.5 is available today on Amazon Bedrock through the US Geo CRIS ( us. ), EU Geo CRIS ( eu. ), AU Geo CRIS ( au. ), JP Geo CRIS ( jp. ) and Global CRIS ( global. ) inference profiles on bedrock-runtime . The model also runs in the US East (N. Virginia) Region ( us-east-1 ), AP SouthEast (Melbourne) Region ( ap-southeast-4 ) on bedrock-mantle. See the Amazon Bedrock documentation for the full list of supported Regions. For pricing information, see Amazon Bedrock pricing . It is also available through Claude Platform on AWS in North America. Give Claude Opus 5.5 a try in the Amazon Bedrock console , in Claude Platform on AWS , or explore the Getting Started notebooks on GitHub.

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